Amazon Rekognition Content Moderation vs Besedo

Amazon Rekognition Content Moderation uses machine learning and managed APIs to automate moderation of images and videos. It detects categories including explicit or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content. Results include labels, confidence scores, and video timestamps, which can support granular rules based on a hierarchical taxonomy. Customers can train a Custom Moderation adapter for image analysis with as few as 20 annotated images. Low-confidence predictions can be sent to Amazon Augmented AI for review by internal teams or third-party reviewers. For stored video, StartContentModeration analyzes content in an Amazon S3 bucket and publishes completion status to an Amazon SNS topic. AWS charges according to images or video duration processed, with no minimum fees or upfront commitments. The Free Tier lasts 12 months from account creation and includes 60 video-analysis minutes per month and two custom-adapter training hours monthly. Images and videos passed to the service may be stored and used to improve it unless customers opt out; stored content is encrypted at rest using AWS KMS.

Besedo moderates user-generated content for platforms seeking to detect fraud, scams and harmful material in real time. Its API supports text, images, videos, reviews, chats and other user content, and its listed moderation capabilities also include audio. AI automation and smart filters handle moderation alongside human moderators for complex or sensitive cases. Customers can create, edit or import filters and rule logic in an editor. The Implio dashboard presents performance statistics, refusal reasons and insights for refining moderation, while a RESTful HTTP API integrates the service with customer platforms. Besedo offers cloud deployment and says its system can scale to platforms processing millions of items per day. It reports an average response time below 50 milliseconds for real-time moderation and 50 milliseconds for chat, and says it supports more than 100 languages natively. Its customers include marketplaces, dating apps, gaming platforms, media companies and online communities. Pricing is available on request; a free trial includes 10,000 moderated pieces per month and unlimited users.